{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import mplfinance as mpf\n",
    "import numpy as np\n",
    "from numba import njit\n",
    "import pandas as pd \n",
    "import pybroker\n",
    "from pybroker import Strategy\n",
    "import talib  \n",
    "import matplotlib.pyplot as plt\n",
    "from pybroker.ext.data import AKShare\n",
    "pybroker.enable_data_source_cache('AKShare')\n",
    "\n",
    "def ma(bar_data,short_window,long_window):\n",
    "    #@njit  # Enable Numba JIT.\n",
    "    def vec_ma(values):\n",
    "        # Initialize the result array.\n",
    "        n = len(values)\n",
    "        \n",
    "        data = np.full((n, 2), np.nan)  \n",
    "        # 将NumPy数组转换为pandas DataFrame，并添加列标签  \n",
    "        df = pd.DataFrame(data, columns=['SMA_short', 'SMA_long'])  \n",
    "\n",
    "        # 计算短期（例如5日）和长期（例如20日）均线  \n",
    "        df['SMA_short'] = talib.SMA(values, timeperiod=short_window)  \n",
    "        df['SMA_long'] = talib.SMA(values, timeperiod=long_window)  \n",
    "            # 初始化金叉和死叉的列  \n",
    "        out = np.array([np.nan for _ in range(n)])\n",
    "\n",
    "        # For all bars starting at lookback:\n",
    "        # 遍历DataFrame，判断金叉和死叉  \n",
    "        for i in range(1, len(df)):  \n",
    "            if df['SMA_short'].iloc[i] > df['SMA_long'].iloc[i] and df['SMA_short'].iloc[i-1] < df['SMA_long'].iloc[i-1]:  \n",
    "                df.at[df.index[i], 'Cross'] = 2 \n",
    "                out[i] =1\n",
    "            if df['SMA_short'].iloc[i] < df['SMA_long'].iloc[i] and df['SMA_short'].iloc[i-1] > df['SMA_long'].iloc[i-1]:  \n",
    "                df.at[df.index[i], 'Cross'] = 1  \n",
    "                out[i] = -1\n",
    "        \n",
    "        # print (df)\n",
    "        # print (out)\n",
    "        return df\n",
    "    \n",
    "    return vec_ma(bar_data.close) # 把bar_data.close传递给values,最终out[]返回\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded cached bar data.\n",
      "\n",
      "                 date  symbol   open   high    low  close   volume  SMA_short  \\\n",
      "date                                                                            \n",
      "2024-03-01 2024-03-01  000001  10.59  10.60  10.43  10.49  1828103        NaN   \n",
      "2024-03-04 2024-03-04  000001  10.45  10.50  10.32  10.33  1655930        NaN   \n",
      "2024-03-05 2024-03-05  000001  10.30  10.47  10.26  10.43  1817319        NaN   \n",
      "2024-03-06 2024-03-06  000001  10.40  10.45  10.33  10.33  1345640        NaN   \n",
      "2024-03-07 2024-03-07  000001  10.33  10.64  10.33  10.38  2016166     10.392   \n",
      "...               ...     ...    ...    ...    ...    ...      ...        ...   \n",
      "2024-06-03 2024-06-03  000001  11.12  11.13  10.91  10.98  1326697     11.174   \n",
      "2024-06-04 2024-06-04  000001  10.95  11.05  10.91  11.02   981005     11.098   \n",
      "2024-06-05 2024-06-05  000001  11.04  11.07  10.87  10.87  1018968     11.020   \n",
      "2024-06-06 2024-06-06  000001  10.90  10.98  10.88  10.90  1049332     10.976   \n",
      "2024-06-07 2024-06-07  000001  10.92  11.01  10.89  10.99  1170126     10.952   \n",
      "\n",
      "            SMA_long  Cross  \n",
      "date                         \n",
      "2024-03-01       NaN    NaN  \n",
      "2024-03-04       NaN    NaN  \n",
      "2024-03-05       NaN    NaN  \n",
      "2024-03-06       NaN    NaN  \n",
      "2024-03-07       NaN    NaN  \n",
      "...              ...    ...  \n",
      "2024-06-03   11.1595    NaN  \n",
      "2024-06-04   11.1665    1.0  \n",
      "2024-06-05   11.1735    NaN  \n",
      "2024-06-06   11.1805    NaN  \n",
      "2024-06-07   11.1830    NaN  \n",
      "\n",
      "[66 rows x 10 columns]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 960x690 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aKShare = AKShare()\n",
    "df = aKShare.query('000001', '3/1/2024', '6/7/2024')\n",
    "df2=ma(df,short_window=5,long_window=20)\n",
    "\n",
    "df = pd.concat([df, df2], axis=1)\n",
    "df.index = pd.to_datetime(df['date'])\n",
    "# 打印结果\n",
    "print(df)\n",
    "symbol=\"000001\"\n",
    "# 绘制K线图和成交量图\n",
    "\n",
    "apkwargs = dict(type='candle', mav=(5,10,20)) # mav 用于指定显示的移动平均线\n",
    "\n",
    "\n",
    "\n",
    "mpf.plot(df, type='candle', style='charles',\n",
    "         volume=True,  # 显示成交量\n",
    "         title=f'{symbol} Stock Price and Volume',\n",
    "         ylabel='Price ($)',\n",
    "         ylabel_lower='Volume',\n",
    "         show_nontrading=True,\n",
    "         figscale=1.2,  # 调整图形大小\n",
    "         tight_layout=True,\n",
    "         mav=(5,10,20))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>symbol</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "      <th>SMA_short</th>\n",
       "      <th>SMA_long</th>\n",
       "      <th>Cross</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2024-03-01</td>\n",
       "      <td>000001</td>\n",
       "      <td>10.59</td>\n",
       "      <td>10.60</td>\n",
       "      <td>10.43</td>\n",
       "      <td>10.49</td>\n",
       "      <td>1828103</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2024-03-04</td>\n",
       "      <td>000001</td>\n",
       "      <td>10.45</td>\n",
       "      <td>10.50</td>\n",
       "      <td>10.32</td>\n",
       "      <td>10.33</td>\n",
       "      <td>1655930</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2024-03-05</td>\n",
       "      <td>000001</td>\n",
       "      <td>10.30</td>\n",
       "      <td>10.47</td>\n",
       "      <td>10.26</td>\n",
       "      <td>10.43</td>\n",
       "      <td>1817319</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2024-03-06</td>\n",
       "      <td>000001</td>\n",
       "      <td>10.40</td>\n",
       "      <td>10.45</td>\n",
       "      <td>10.33</td>\n",
       "      <td>10.33</td>\n",
       "      <td>1345640</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2024-03-07</td>\n",
       "      <td>000001</td>\n",
       "      <td>10.33</td>\n",
       "      <td>10.64</td>\n",
       "      <td>10.33</td>\n",
       "      <td>10.38</td>\n",
       "      <td>2016166</td>\n",
       "      <td>10.392</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2024-06-03</td>\n",
       "      <td>000001</td>\n",
       "      <td>11.12</td>\n",
       "      <td>11.13</td>\n",
       "      <td>10.91</td>\n",
       "      <td>10.98</td>\n",
       "      <td>1326697</td>\n",
       "      <td>11.174</td>\n",
       "      <td>11.1595</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2024-06-04</td>\n",
       "      <td>000001</td>\n",
       "      <td>10.95</td>\n",
       "      <td>11.05</td>\n",
       "      <td>10.91</td>\n",
       "      <td>11.02</td>\n",
       "      <td>981005</td>\n",
       "      <td>11.098</td>\n",
       "      <td>11.1665</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2024-06-05</td>\n",
       "      <td>000001</td>\n",
       "      <td>11.04</td>\n",
       "      <td>11.07</td>\n",
       "      <td>10.87</td>\n",
       "      <td>10.87</td>\n",
       "      <td>1018968</td>\n",
       "      <td>11.020</td>\n",
       "      <td>11.1735</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2024-06-06</td>\n",
       "      <td>000001</td>\n",
       "      <td>10.90</td>\n",
       "      <td>10.98</td>\n",
       "      <td>10.88</td>\n",
       "      <td>10.90</td>\n",
       "      <td>1049332</td>\n",
       "      <td>10.976</td>\n",
       "      <td>11.1805</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2024-06-07</td>\n",
       "      <td>000001</td>\n",
       "      <td>10.92</td>\n",
       "      <td>11.01</td>\n",
       "      <td>10.89</td>\n",
       "      <td>10.99</td>\n",
       "      <td>1170126</td>\n",
       "      <td>10.952</td>\n",
       "      <td>11.1830</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>66 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         date  symbol   open   high    low  close   volume  SMA_short  \\\n",
       "0  2024-03-01  000001  10.59  10.60  10.43  10.49  1828103        NaN   \n",
       "1  2024-03-04  000001  10.45  10.50  10.32  10.33  1655930        NaN   \n",
       "2  2024-03-05  000001  10.30  10.47  10.26  10.43  1817319        NaN   \n",
       "3  2024-03-06  000001  10.40  10.45  10.33  10.33  1345640        NaN   \n",
       "4  2024-03-07  000001  10.33  10.64  10.33  10.38  2016166     10.392   \n",
       "..        ...     ...    ...    ...    ...    ...      ...        ...   \n",
       "61 2024-06-03  000001  11.12  11.13  10.91  10.98  1326697     11.174   \n",
       "62 2024-06-04  000001  10.95  11.05  10.91  11.02   981005     11.098   \n",
       "63 2024-06-05  000001  11.04  11.07  10.87  10.87  1018968     11.020   \n",
       "64 2024-06-06  000001  10.90  10.98  10.88  10.90  1049332     10.976   \n",
       "65 2024-06-07  000001  10.92  11.01  10.89  10.99  1170126     10.952   \n",
       "\n",
       "    SMA_long  Cross  \n",
       "0        NaN    NaN  \n",
       "1        NaN    NaN  \n",
       "2        NaN    NaN  \n",
       "3        NaN    NaN  \n",
       "4        NaN    NaN  \n",
       "..       ...    ...  \n",
       "61   11.1595    NaN  \n",
       "62   11.1665    1.0  \n",
       "63   11.1735    NaN  \n",
       "64   11.1805    NaN  \n",
       "65   11.1830    NaN  \n",
       "\n",
       "[66 rows x 10 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result"
   ]
  }
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